你也可以我們ËRegexp_replace
功能:
SQL> with t1(col) as(
2 select '82617_mm_01.pdf' from dual union all
3 select '456546_khkjh_89kjh_67_01.pdf' from dual union all
4 select '19998_MAINE_07-31-2010_11-05-59_AM.pdf' from dual union all
5 select '5485325_OREGON_01.pdf' from dual
6 )
7 select col
8 , regexp_replace(col, '^([0-9]+)_(.*)_(\d{2}\.pdf)$', '\1_\3') res
9 from t1;
COL RES
-------------------------------------- -----------------------------------------
82617_mm_01.pdf 82617_01.pdf
456546_khkjh_89kjh_67_01.pdf 456546_01.pdf
19998_MAINE_07-31-2010_11-05-59_AM.pdf 19998_MAINE_07-31-2010_11-05-59_AM.pdf
5485325_OREGON_01.pdf 5485325_01.pdf
要顯示好壞數據regexp_like
功能就會派上用場:
SQL> with t1(col) as(
2 select '826170_01.pdf' from dual union all
3 select '456546_01.pdf' from dual union all
4 select '19998_MAINE_07-31-2010_11-05-59_AM.pdf' from dual union all
5 select '5485325_OREGON_01.pdf' from dual
6 )
7 select col bad_data
8 from t1
9 where not regexp_like(col, '^[0-9]+_\d{2}\.pdf$');
BAD_DATA
--------------------------------------
19998_MAINE_07-31-2010_11-05-59_AM.pdf
5485325_OREGON_01.pdf
SQL> with t1(col) as(
2 select '826170_01.pdf' from dual union all
3 select '456546_01.pdf' from dual union all
4 select '19998_MAINE_07-31-2010_11-05-59_AM.pdf' from dual union all
5 select '5485325_OREGON_01.pdf' from dual
6 )
7 select col good_data
8 from t1
9 where regexp_like(col, '^[0-9]+_\d{2}\.pdf$');
GOOD_DATA
--------------------------------------
826170_01.pdf
456546_01.pdf
爲此目的,您update
聲明可能是這樣的:
update your_table
set col = regexp_replace(col, '^([0-9]+)_(.*)_(\d{2}\.pdf)$', '\1_\3');
--where clause if needed
完美。 ...........花了我一些時間來掌握到底發生了什麼,但是它的工作非常棒。 –